Match

USR Sainte-Rose vs USBM: prediction and stats

Division d'HonneurRegular Season - 15Kick-off on May 7, 2020 at 12:00 AM (UTC)

USR Sainte-RoseUSBM

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, USR Sainte-Rose have 6 wins, 4 draws and 5 defeats; USBM have 8, 4 and 3.

The competition is shown for every match: in pre-season, several of these games are friendlies.

USR Sainte-Rose
DateOpponentScoreCompetition
Mar 19, 2020América des Cayes(home)1-0Ligue Haïtienne
Mar 15, 2020FICA(away)0-1Ligue Haïtienne
Mar 8, 2020Don Bosco(home)1-0Ligue Haïtienne
Mar 7, 2020Phare du Canal(away)1-5Division d'Honneur
Mar 1, 2020Baltimore(away)0-1Ligue Haïtienne
USBM
DateOpponentScoreCompetition
Mar 8, 2020La Gauloise(home)3-1Division d'Honneur
Feb 16, 2020Moulien(away)1-0Division d'Honneur
Feb 8, 2020Solidarité Scolaire(home)1-3Division d'Honneur
Feb 1, 2020UNAR(home)2-1Division d'Honneur
Jan 12, 2020Arsenal(home)1-1Division d'Honneur

What does the head-to-head say?

Across the last 6 meetings: 1 USR Sainte-Rose win, 3 draws, 2 USBM wins.

DateScoreCompetition
Oct 3, 2019USBM 1-1 USR Sainte-RoseDivision d'Honneur
Jun 20, 2019USR Sainte-Rose 1-2 USBMDivision d'Honneur
Dec 20, 2018USBM 1-1 USR Sainte-RoseDivision d'Honneur
May 12, 2018USR Sainte-Rose 0-2 USBMDivision d'Honneur
Dec 16, 2017USBM 0-0 USR Sainte-RoseDivision d'Honneur
Mar 12, 2017USR Sainte-Rose 1-0 USBMDivision d'Honneur

Last archived meeting: USBM vs USR Sainte-Rose on Oct 3, 2019

How many goals should we expect?

USR Sainte-Rose score 1.1 and concede 1.1 goals per match over their last 15; USBM score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
USR Sainte-Rose1.11.166/154/15
USBM1.71.1410/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
11USBM245415225543

A question about USR Sainte-Rose vs USBM?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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